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ORCIDICPM Workshops 2022: Bozen-Bolzano, Italy
- Marco Montali
, Arik Senderovich, Matthias Weidlich:
Process Mining Workshops - ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers. Lecture Notes in Business Information Processing 468, Springer 2023, ISBN 978-3-031-27814-3
3rd International Workshop on Event Data and Behavioral Analytics (EdbA'22)
- Gemma Di Federico, Andrea Burattin:
Do You Behave Always the Same? - A Process Mining Approach. 5-17 - Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. 18-30 - Adrian Rebmann, Peter Pfeiffer, Peter Fettke, Han van der Aa:
Multi-perspective Identification of Event Groups for Event Abstraction. 31-43 - Azadeh Sadat Mozafari Mehr, Renata Medeiros de Carvalho, Boudewijn F. van Dongen:
Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach. 44-56 - Yannis Bertrand, Bram Van den Abbeele, Silvestro Veneruso, Francesco Leotta, Massimo Mecella, Estefanía Serral:
A Survey on the Application of Process Mining to Smart Spaces Data. 57-70 - Paul Kobialka, Felix Mannhardt, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen:
Building User Journey Games from Multi-party Event Logs. 71-83 - Maxim Vidgof, Jan Mendling:
Leveraging Event Data for Measuring Process Complexity. 84-95
3rd Workshop on Responsible Process Mining (RPM'22)
- Timo Pohl, Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Discrimination-Aware Process Mining: A Discussion. 101-113 - Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst:
TraVaS: Differentially Private Trace Variant Selection for Process Mining. 114-126 - Vlad Paul Cosma, Thomas T. Hildebrandt, Christopher H. Gyldenkærne, Tijs Slaats:
BERMUDA: Participatory Mapping of Domain Activities to Event Data via System Interfaces. 127-139
3rd International Workshop on Streaming Analytics for Process Mining (SA4PM'22)
- Lisan Wolters, Marwan Hassani:
Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. 145-157 - Andrea Burattin, Hugo A. López, Lasse Starklit:
Uncovering Change: A Streaming Approach for Declarative Processes. 158-170
3rd International Workshop in Leveraging Machine Learning for Process Mining (ML4PM'22)
- Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak:
Deep Reinforcement Learning for Resource Allocation in Business Processes. 177-189 - Christian Warmuth, Henrik Leopold:
On the Potential of Textual Data for Explainable Predictive Process Monitoring. 190-202 - Michael Grohs, Jana-Rebecca Rehse:
Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. 203-215 - Christian Kohlschmidt, Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Detecting Surprising Situations in Event Data. 216-228 - Johannes Lahann, Peter Pfeiffer, Peter Fettke:
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. 229-241 - Nahyun Kwon, Marco Comuzzi:
Genetic Algorithms for AutoML in Process Predictive Monitoring. 242-254 - Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt:
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. 255-268 - Elio Ribeiro Faria Junior, Thais Rodrigues Neubauer, Marcelo Fantinato, Sarajane Marques Peres:
Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs. 269-281
5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H'22)
- Joscha Grüger, Tobias Geyer, Martin Kuhn, Stephan A. Braun, Ralph Bergmann:
Weighted Violations in Alignment-Based Conformance Checking. 289-301 - Jonas Cremerius, Luise Pufahl, Finn Klessascheck, Mathias Weske:
Event Log Generation in MIMIC-IV Research Paper. 302-314 - Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx:
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. 315-327 - Joscha Grüger, Tobias Geyer, David Jilg, Ralph Bergmann:
SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation. 328-340 - Alistair Bullward, Abdulaziz Aljebreen, Alexander Coles, Ciarán McInerney, Owen A. Johnson:
Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt. 341-353 - Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome. 354-365 - Annika L. Dubbeldam, István Ketykó, Renata Medeiros de Carvalho, Felix Mannhardt:
Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay - A Case Study. 366-377 - Jorg W. R. Bekelaar, Jolanda J. Luime, Renata Medeiros de Carvalho:
Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction. 378-390 - Christin Puthur, Abdulaziz Aljebreen, Ciarán McInerney, Teumzghi Mebrahtu, Tom Lawton, Owen A. Johnson:
Measuring the Impact of COVID-19 on Hospital Care Pathways. 391-403
1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM'22)
- Marius Breitmayer, Lisa Arnold, Stephan La Rocca, Manfred Reichert:
Deriving Event Logs from Legacy Software Systems. 409-421 - Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, Estefanía Serral:
Defining Data Quality Issues in Process Mining with IoT Data. 422-434 - Harry H. Beyel, Wil M. P. van der Aalst:
Creating Translucent Event Logs to Improve Process Discovery. 435-447
7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI'22)
- Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik:
SAP Signavio Academic Models: A Large Process Model Dataset. 453-465 - Jing Xiong, Guohui Xiao, Tahir Emre Kalayci, Marco Montali, Zhenzhen Gu, Diego Calvanese:
A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction. 466-478 - Gyunam Park, Wil M. P. van der Aalst:
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs. 479-492 - Eva L. Klijn, Felix Mannhardt, Dirk Fahland:
Aggregating Event Knowledge Graphs for Task Analysis. 493-505
1st International Workshop on Education Meets Process Mining (EduPM'22)
- Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Görzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil M. P. van der Aalst:
A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education. 513-525 - Seppe Van Daele, Gert Janssenswillen:
Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach. 526-538 - Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki:
Discovering Students' Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques. 539-551 - Luciano Hidalgo, Jorge Munoz-Gama:
Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions. 552-564 - Saimir Bala, Kate Revoredo, Jan Mendling:
Process Mining for Analyzing Open Questions Computer-Aided Examinations. 565-576 - Richard Hobeck, Luise Pufahl, Ingo Weber:
Process Mining on Curriculum-Based Study Data: A Case Study at a German University. 577-589
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